Automation index
How much of a Air cargo agent’s job can AI already do?
An AWB comes earlier. Boarding on time without leaving the cargo on the ramp do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Air cargo agent
27%
AI can already do 27% of this job.
#129 / 623
View rankingAir cargo agent
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
AWB, weight and the flight.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Acceptance, screening and what cannot fly.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
ULD, build-up and the cut-off.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Customs, transits and the one that misses the flight.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the urgent and not overbooking the hold.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Board on time, and not leaving it on the ramp.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- AWB
- cargo screening
- ULD
- cut-off
- build-up
- air transits
- weight and volume
- the hold
Sources for this job· O*NET 43-5011.00· ESCO/ISCO 3331
IS WORK OVER?
Logistics analyst
28%
#79 / 623
View rankingLogistics analyst
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Costs, OTIF and the dashboard.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Simulate network, warehouses and the what-if.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ops, dirty data and going down to the dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the board and the cut that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The haulier, the contract and not breaking the service.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A real saving, and not dressing OTIF.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- logistics costs
- OTIF
- simulate network
- what-if
- dirty data
- haulage contracts
- dashboards
- network cuts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421